Algorithm for real-time finger spelling alphabet recognition in video sequences

This paper focuses on real=time image recognition in video sequences A novel algorithm designed to be used specifically for finger spelling alphabet is introduced along with relevant qualitative comparison to current state of the art. The proposed concept introduces a new image feature selection technique used in comparation process, which significantly improves the recognition of finger spelling alphabets in video sequences. Consideration to the fact that modern technologies are capable of recording videos and capturing images with very high resolution was taken and the proposed novel algorithm is fully capable of efficiently processing also high resolution images.